NDLI: Iterative channel estimation and decoding for a turbo-coded OFDM system via the EM algorithm

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Iterative channel estimation and decoding for a turbo-coded OFDM system via the EM algorithm

Content Provider	IEEE Xplore Digital Library
Author	Zhuang, Xiangyang Vook, Frederick W.
Copyright Year	2002
Description	Author affiliation: Motorola Labs - Communication Systems Research Laboratory, 1301 E. Algonquin Road, Schaumburg, IL 60196, USA (Zhuang, Xiangyang; Vook, Frederick W.)
Abstract	This paper proposes an OFDM receiver that iteratively estimates the channel during the iterative decoding process of a serially-concatenated code. To track a slowly time-varying channel, the receiver can update the channel estimate using decision-direction based on soft symbols to mitigate error propagation. When the channel changes so quickly that decision-directed updates cannot keep up, the receiver re-estimates the channel during the decoding process using the EM algorithm based on the transmitted symbol probabilities provided by the turbo decoder. The EM algorithm is used to approximate a maximum likelihood solution given the distribution of the transmitted symbols. With this technique, the iterative process of the EM algorithm is naturally combined with the decoding iteration. Improved coded performance is observed for both static and fast time-varying channels.
File Size	950349
File Format	PDF
ISBN	0780374029
ISSN	15206149
DOI	10.1109/ICASSP.2002.5745114
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-05-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Filtering algorithms Channel estimation Artificial neural networks
Content Type	Text
Resource Type	Article

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